Your ultimate
fmcg data partner
Effortlessly access comprehensive FMCG market data with our hassle-free scraping solutions. We specialize in extracting product details, pricing, promotions, and availability, delivering accurate insights to support your business decisions.
Transform FMCG platforms into Strategic Business Insights
FMCG Data Scrape specializes in gathering actionable data for the fast-moving consumer goods sector, effortlessly extracting critical information like product names, categories, prices, and promotions. Our expertise in FMCG, grocery, and e-commerce data scraping delivers detailed insights to drive strategic business decisions.
Gain insights into market size (TAM) and your competitive position in every region.
Optimise Eater Fees based on sophisticated analysis
Generate new leads with data-based approach
Get the clutter out of CRM
Be the first to learn about restaurant new openings
Understand promotions to optimise your budgets
Get data from any app you need
and many more!
Use-case examples
How our clients use data?
In the fast-paced FMCG industry, understanding how your product pricing stacks up against competitors is crucial. Our clients leverage our data to analyze standard prices of key products (excluding promotions) and benchmark them against competitor pricing. By gaining insights into market price changes over time, they can make informed recommendations for price adjustments to achieve their Strategic Price Index (SPI), ensuring competitive positioning and profitability.
Effective promotions are vital for driving sales, but over-investing or under-investing can impact margins. Our clients use our services to analyze promotional mechanisms, including Depth of Discount (DoD) compared to competitors, promotional frequency, and types of promotions used in the market. This detailed insight allows them to adjust their promotional strategies, optimize discount levels, and align with market trends, ultimately improving promotional ROI.
Ensuring optimal product availability across all channels is key to maximizing sales. Our data helps clients assess numeric distribution of products within categories, comparing their assortment width and distribution speed against competitors. By identifying distribution gaps and analyzing new product availability, they can refine their assortment strategies, optimize packaging sizes, and accelerate distribution builds to enhance market coverage.
In today's digital retail environment, product positioning on virtual shelves significantly influences consumer purchasing decisions. Our clients utilize our insights to analyze their product placement in online stores, including visibility rankings, share of shelf within categories, and the quality of product content. By improving factors like product descriptions, images, and enriched content, they enhance their online visibility, outperform competitors, and drive higher conversion rates.
What we do?
At Doubledata, our mission is to provide you with the most accurate data possible. Beyond data scraping, we carefully collect information from the most reliable sources available. Our team works hard every day to gather and clean data, using both advanced algorithms and human validation processes to ensure accuracy. We are dedicated to delivering the most reliable information to you, so you can make informed decisions with confidence.
While others outsource, we handle the entire process in-house to ensure the highest data quality. We've developed advanced machine learning algorithms that refine and match data. However, we don't solely rely on them; our team of experts manually validates and cleans the results, using a multilayered approach that delivers unmatched accuracy in the industry.
Using advanced machine learning algorithms
Double-checked manually by the team of experts
- 1
Data extraction
Doubledata provides accurate, daily geolocalized data from multiple sources, with a focus on restaurant data scraping. Customized location and menu information is available for specific areas.
- 2
Data cleaning & management
We handle data cleaning, and maintenance in-house. Our expert team ensures top-notch data quality and swift responsiveness to your needs.
- 3
Data matching
We provide our own index for venues’ data matching across platforms using Machine Learning & AI algorithms supported with manual refinement.
- 4
Analytics
Analyze Eater Fees, discover TAM by city, enhance CRM with ratings and reviews, grasp delivery zones, and classify venues using our index.
DATA MATCHING
Our algorithms cross-reference and align data from various sources, ensuring consistency and identifying unique venues across platforms.
MANUAL REFINEMENT
UNMERGING LEADS
Separate and analyze merged data entries to ensure each venue is accurately represented. This process helps identify any duplications.
MERGING LEADS
Consolidate multiple listings of the same venue from various sources into a single, comprehensive profile.
MAPPING LISTING TYPES
Categorize products consistently across all data sources, ensuring accurate classification of businesses (e.g., fruits, vegetables, dairy).
Insights through data scraping solutions
Access Actionable Insights for food delivery, QSR, and Restaurant Data Leverage our advanced food delivery data scraping solutions to extract real-time insights that help you effectively monitor market changes and customer trends. Ourintuitive dashboards provide detailed visualizations of restaurant listings, delivery fees, and performance metrics, empowering you to make data-driven decisions with precision.
Whether you need customizable dashboards for quick analysis, raw data scraping for in-depth research, or seamless integration through our APIs we deliver data tailored to your needs. Stay ahead of the competition with reliable and actionable insights for your operations and strategy.
Want to see more?
Schedule a demo and explore more dashboards. Get sample data set and check how we can empower your business with insights.
Quality assurance
We employ rigorous automated quality assurance processes, complemented by manual checks, to validate data accuracy and completeness.
Tests Scope & Outcomes
Problems & Resolution Status
Proofs & Examples
Proofs Test Scope
Spot Check Dataset Scope
Spot Check Proof
Tests Scope & Outcomes
Problems & Resolution Status
Proofs & Examples
Proofs Test Scope
Spot Check Dataset Scope
Spot Check Proof